There has been an increasing interest in researching, developing and deploying multi-robot
systems. This has been driven mainly by: the maturity of the practical deployment of a single …

Target search and tracking is a classical but difficult problem in many research domains,
including computer vision, wireless sensor networks and robotics. We review the seminal …

Mobile robots play crucial roles in industry and commerce, and automatic guided vehicles
(AGV) are one of the primary parts of smart manufactory and intelligent logistics. Path …

For the complete coverage path planning of autonomous underwater vehicles (AUVs), a
new strategy with Glasius bio-inspired neural network (GBNN) algorithm with discrete and …

In this study, we focus on the Multi-robot Coverage Path Planning (MCPP) problem for
maritime Search And Rescue (SAR) missions using a multiple Autonomous Underwater …

Mobile robots are devices that can move autonomously to accomplish their goals. This
paper provides a review of such robots oriented towards manufacturing applications. It …

For the shortcomings of biologically inspired neural network algorithm in the path planning
of robots, such as high computational complexity, long path planning time etc Glasius Bio …

The problem of determining a collision free path within a region is an important area of
research in robotics. One significant aspect of this problem is coverage path planning, which …

This paper studies a simultaneous scheduling of production and material transfer in a
flexible job shop environment. The simultaneous scheduling approach has been recently …

This paper tackles the problems of exact cell decomposition and partitioning of a coastal
region for a team of heterogeneous Unmanned Aerial Vehicles (UAVs) with an approach …